Engineering the Future of Software
29–31 Oct 2018: Tutorials & Conference
31 Oct–1 Nov 2018: Training
London, UK
Sarah LeBlanc

Sarah LeBlanc
Software Developer, ThoughtWorks

Sarah LeBlanc is a software consultant at ThoughtWorks, where she works on projects focusing on using machine learning for fraud and anomaly detection; she recently helped a global financial institution create a platform and its first product, a new system for consumer loans. Sarah finds the most joy in coaching and mentoring other developers and learning from her fantastic team members but is not averse to debating coworkers (and gracefully accepting defeat in the face of sufficient evidence). Sarah continues to recognize the merits of coffee lids.


14:1515:05 Tuesday, 30 October 2018
Application architecture
Location: Park Suite (St. James / Regents)
Secondary topics:  Best Practice, Case Study
Sarah LeBlanc (ThoughtWorks), Hany Elemary (ThoughtWorks)
Average rating: ****.
(4.17, 6 ratings)
Credit card fraudsters are always changing their behavior and developing new tactics. For banks, the damage isn’t just financial; their reputations are on the line. So how do they stay ahead of the crooks? Sarah LeBlanc and Hany Elemary explore a system that utilizes continuous delivery for machine learning to allow for rapid experimentation and the deployment of models to catch these fraudsters. Read more.